Applying Consistency-Based Trust Definition to Collaborative Filtering
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Summary
A consistency definition, rather than similarity, based on information entropy between two users to improve the recommendation is proposed, which is then employed as a trust metric in collaborative filtering methods that select neighbors based on the metric.
- Type
- article
- Published
- 2009-08-30
- Cited by
- 16
- References
- 21
- Access
- Open access
- OpenAlex
- https://openalex.org/W2010543393
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:40380861
Keywords
Collaborative filtering, Computer science, Consistency (knowledge bases), Recommender system, Metric (unit)
References
- Exploring More Realistic Evaluation Measures for Collaborative Filtering
- Collaborative Filtering by Consistency Based Trust Definition
- Social Network Analysis: Methods and Applications
- Trust-based agent community for collaborative recommendation
- Evaluating collaborative filtering recommender systems
- A Novel Scheme for Seamless Hand-off in WMNs
- Trust in recommender systems
- Analysis of recommendation algorithms for e-commerce
- GroupLens: applying collaborative filtering to Usenet news
- A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
- Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering
- The Logic and Limits of Trust
- Social information filtering: algorithms for automating “word of mouth”
- Slope One Predictors for Online Rating-Based Collaborative Filtering
- A Study on the Improved Collaborative Filtering Algorithm for Recommender System
- An algorithmic framework for performing collaborative filtering
- Scouts, Promoters, and Connectors: The Roles of Ratings in Nearest Neighbor Collaborative Filtering
- Trust-Aware Collaborative Filtering for Recommender Systems
- Push-Poll Recommender System: Supporting Word of Mouth
- Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences
Cited by
- Holistic Collaborative Privacy Framework for Users' Privacy in Social Recommender Service
- Clustering and Recommendation for Semantic Web Service in Time Series
- Time-Aware Semantic Web Service Recommendation
- Private personalized social recommendations in an IPTV system
- Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
- Privacy Aware Recommender Service using Multi-agent Middleware- an IPTV Network Scenario
- A Fog Based Middleware for Automated Compliance With OECD Privacy Principles in Internet of Healthcare Things
- Privacy Enhanced Cloud-Based Recommendation Service for Implicit Discovery of Relevant Support Groups in Healthcare Social Networks
- Privacy aware group based recommender system in multimedia services
- A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud services
- An Enhanced Middleware for Collaborative Privacy in IPTV Recommender Services
- Security and trust issues in Fog computing: A survey
- Fog Computing Architecture, Applications and Security Issues: A Survey
- Fog Computing Architecture, Applications and Security Issues
- Security in fog computing: A systematic review on issues, challenges and solutions
- Consistency Regularization for Complementary Clothing Recommendations
- Holistic Collaborative Privacy Framework for Users’ Privacy in Social Recommender Service
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